"empirical risk minimization" Papers
16 papers found
Conference
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective
Hongyu Shen, Zhizhen Zhao
AAAI 2025paperarXiv:2412.13003
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
ICLR 2025
1
citations
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Muhammed Ildiz, Halil Gozeten, Ege Taga et al.
ICLR 2025arXiv:2410.18837
13
citations
On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
NEURIPS 2025spotlightarXiv:2502.09496
Prediction-Powered Causal Inferences
Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis et al.
NEURIPS 2025arXiv:2502.06343
6
citations
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin, Erchi Wang, Yian Ma et al.
NEURIPS 2025spotlightarXiv:2503.21071
2
citations
SEBRA : Debiasing through Self-Guided Bias Ranking
Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL et al.
ICLR 2025arXiv:2501.18277
2
citations
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Idan Attias, Steve Hanneke, Arvind Ramaswami
NEURIPS 2025spotlightarXiv:2506.00135
Adversarially Robust Hypothesis Transfer Learning
Yunjuan Wang, Raman Arora
ICML 2024
Collaborative Learning with Different Labeling Functions
yuyang deng, Mingda Qiao
ICML 2024arXiv:2402.10445
1
citations
From Inverse Optimization to Feasibility to ERM
Saurabh Mishra, Anant Raj, Sharan Vaswani
ICML 2024arXiv:2402.17890
4
citations
How to Escape Sharp Minima with Random Perturbations
Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra
ICML 2024arXiv:2305.15659
14
citations
Multi-Dimensional Fair Federated Learning
Cong Su, Guoxian Yu, Jun Wang et al.
AAAI 2024paperarXiv:2312.05551
11
citations
On the Asymptotic Distribution of the Minimum Empirical Risk
Jacob Westerhout, TrungTin Nguyen, Xin Guo et al.
ICML 2024
Optimal Differentially Private Model Training with Public Data
Andrew Lowy, Zeman Li, Tianjian Huang et al.
ICML 2024arXiv:2306.15056
7
citations
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
Yulong Zhang, Yuan Yao, Shuhao Chen et al.
ICML 2024